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Data Broker Remote Jobs (NOW HIRING)

Turing

Real Estate Broker

Manhattan, NY · Remote

$100 - $150/hr

Work in a fully remote environment. * Engagement type: Contractor assignment/freelancer ... Trade secrets or internal company or university data. * Specific client information or case details.

NFP Corp

Broker - Management Liability

Bethesda, MD · On-site +1

$68K - $98K/yr

This role can sit remote, hybrid, or in-office, with a preference for candidates based on the East ... Maintain accurate and organized client and broking data within internal systems Knowledge, Skills ...

HealthEquity

Broker Relationship Executive (California)

$105K - $141K/yr

Your success will come from connecting regularly with brokerage partners, understanding what they ... based data orientation * Strong Microsoft Word, Excel, and PowerPoint skills * This is a remote ...

HealthEquity

Broker Relationship Executive (California)

$105K - $141K/yr

Your success will come from connecting regularly with brokerage partners, understanding what they ... based data orientation * Strong Microsoft Word, Excel, and PowerPoint skills * This is a remote ...

Modern Life

Life Insurance Brokerage Manager

$150K - $200K/yr

This role is 100% remote and can be based anywhere in the U.S. What's in it for you... * Equity ... If you would like more information about how your data is processed, please contact us. apply for ...

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Data Broker Remote information

What is a data broker?

A Data Broker is a professional or company that collects, processes, and sells information about individuals or organizations, often for marketing, analytics, or risk management purposes. When working remotely, Data Brokers use digital tools to gather data from various online sources, compile databases, and provide insights to clients without being tied to a physical office. Their responsibilities may include verifying data accuracy, ensuring privacy compliance, and delivering customized datasets to meet client needs.

What are the key skills and qualifications needed to thrive as a data broker remote?

To thrive as a Data Broker (Remote), you need a strong background in data analysis, research, and understanding of data privacy regulations, often supported by a degree in information technology, business, or a related field. Familiarity with data management platforms, CRM systems, and tools like SQL or Excel is typically required. Excellent negotiation, communication, and ethical judgment are key soft skills that distinguish top performers in this role. These abilities ensure effective sourcing, evaluation, and exchange of valuable data while maintaining compliance and client trust in a remote environment.

What are the typical data privacy challenges faced by remote data brokers, and how can they be addressed?

Remote Data Brokers often encounter challenges related to ensuring data privacy and complying with regulations such as GDPR and CCPA, especially when handling sensitive or personally identifiable information. Working remotely can add complexity, as data security depends on both the broker's home setup and company protocols. To address these challenges, it's crucial to use encrypted connections, adhere to strict access controls, and stay updated on relevant data protection laws. Employers typically provide secure tools and regular training, but it's also important for remote Data Brokers to proactively communicate with IT and legal teams to uphold best practices.

What is the difference between Data Broker Remote vs Data Analyst Remote?

AspectData Broker RemoteData Analyst Remote
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data managementBachelor's degree in data science, statistics, or related field; certifications like Microsoft Excel or SQL beneficial
Work EnvironmentIndependent, often involves data collection and aggregation from various sourcesAnalytical, involves interpreting data, creating reports, and visualizations
Employer & Industry UsageUsed by data brokers, marketing firms, and data aggregatorsUsed across industries including finance, healthcare, marketing, and tech

While both roles involve working with data remotely, Data Broker Remote focuses on collecting and selling data, often requiring knowledge of data sources and privacy regulations. Data Analyst Remote emphasizes analyzing data to generate insights, requiring strong analytical skills and familiarity with data tools. Understanding these differences helps job seekers identify the right remote data role for their skills and career goals.

How do you become a data broker?

To become a data broker, individuals typically gain experience in data management, analytics, or sales, and may pursue certifications in data privacy or cybersecurity. Building knowledge of data sources, privacy laws, and data handling tools is essential, along with establishing industry connections and understanding legal regulations governing data use.

What does a data broker do?

A data broker collects, aggregates, and sells consumer and business data from various sources to clients such as marketers, advertisers, and researchers. They analyze large datasets using tools like databases and data management software to provide insights or targeted information. Data brokers must adhere to privacy laws and often require knowledge of data security and compliance standards.
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What are the most commonly searched types of Data Broker jobs?

The most popular types of Data Broker jobs are:

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States with the most job openings for Data Broker Remote jobs include:

What job categories do people searching Data Broker Remote jobs look for?

The top searched job categories for Data Broker Remote jobs are:

Data Broker Remote jobs near you
Infographic showing various Data Broker Remote job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Real Estate Broker

Turing

Manhattan, NY • Remote

$100 - $150/hr

Contractor

Posted 6 days ago

Job description

Turing is looking for candidates with strong experience in real estate brokerage, deal negotiation, and contract management, particularly at the level expected for licensed brokers or brokerage managers overseeing property sales and agent teams.

Role overview:
  • In this role, you will work on projects to help evaluate and improve AI using your industry knowledge and communication expertise.
  • No prior AI experience is required — for example, you may evaluate how well an AI system interprets contracts, manages negotiations, or advises clients through closing.
  • These projects will help you learn how to leverage AI to advance your field, strengthen client interactions, and optimize brokerage operations.

What does day-to-day look like:
  • Design and solve real-world brokerage and transaction scenarios to test AI reasoning.
  • Write clear, structured explanations covering deal structuring, negotiation strategies, and contract compliance.
  • Evaluate AI responses for accuracy, professionalism, and clarity.
  • Collaborate with AI researchers to refine model understanding of brokerage management and client communication.

Requirements:
  • 4+ years of experience as a Real Estate Broker or Brokerage Manager.
  • Active broker license required.
  • Experience in U.S. real estate markets preferred.
  • Excellent English writing and communication skills.
  • Comfortable using web-based tools for annotation and feedback.

Perks of freelancing with Turing & offer details:
  • Strong compensation (exact amount varies by project).
  • Work in a fully remote environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month (with possibility for extension).

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.